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Metro Bangalore and mid-senior SRE role increases competition, but JVM specialization narrows candidate pool.
High because deep JVM, application SRE, and Kubernetes expertise are domain-specific and less transferable.
High due to explicit years and deep JVM, Kubernetes, observability requirements.
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Own reliability and operational support of Java-based applications running on Kubernetes (GKE) in production cloud environments.
Lead deep JVM-level troubleshooting including heap, GC, memory leaks, thread contention, and manage production incidents from response to root cause analysis.
Collaborate closely with dev teams to improve performance, SLIs/SLOs, deployment processes, automate operational tasks, and enhance application scalability and maturity.
6-9 years of experience in Site Reliability Engineering or similar role supporting Java applications in production.
Strong expertise in JVM internals including heap/memory management, garbage collection, OOM analysis, and thread dump/performance analysis.
Hands-on experience operating Java applications on Kubernetes (GKE) in Google Cloud Platform, focusing on application/runtime aspects rather than infrastructure.
Proven skills in production incident management, application observability (logs, metrics, distributed tracing), deployment strategies, and scripting for automation (Python, Shell, or similar).
Experienced SRE with strong focus on JVM and Java application runtime reliability within Kubernetes and GCP environments.
Able to analyze and troubleshoot complex application stack issues holistically, driving improvements in operational maturity and automation.
Collaborates effectively with development teams to embed reliability practices early and manages high-pressure production incidents with accountability.